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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 2268
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    INDEX
    Explanations

    mentions of progress, advancement, or development

    oai_token-act-pair · gpt-3.5-turbo

    references to progress or advancement in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ters
    -0.78
    ============
    -0.73
    DOWN
    -0.72
    sey
    -0.72
     recoil
    -0.70
    say
    -0.69
    tics
    -0.68
    ãĥ¼ãĥ
    -0.67
    kered
    -0.67
    SIZE
    -0.64
    POSITIVE LOGITS
    heit
    0.87
    uve
    0.79
     directives
    0.79
    ments
    0.79
     furthe
    0.75
     towards
    0.69
    anced
    0.67
     Centauri
    0.66
     toward
    0.66
     beyond
    0.66
    Activations Density 0.054%

    No Known Activations